Alterations in gut microbiota affect behavioral and inflammatory responses to methamphetamine in mice

Lai, Shuping; Wang, Jing; Wang, Biao; Wang, Rui; Li, Guodong; Jia, Yuwei; Chen, Teng; Chen, Yanjiong

doi:10.1007/s00213-022-06154-0

Cited by 14 publications

(6 citation statements)

References 60 publications

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“…For example, we found that LBP increased Actinobacteriota , Desulfobacterota , and Verrucomicrobiota abundances, and decreased the abundances of Firmicutes , Deferribacterota , and Cyanobacteria when compared with the MA group. Actinobacteriota , one of the major phyla in gut microbiota, is pivotal in the maintenance of gut homeostasis, which speculated that Actinobacteriota was involved in the regulation of intestinal permeabilityand gut–brain axis [33, 34]. At the genus level, we found that MA increased the abundances of conditional pathogens, such as Mycoplasma and Desulfovibrio , and decreased the abundances of beneficial gut microbiota, such as unclassified_Atopobiaceae and UBA1819 .…”

Section: Discussionmentioning

confidence: 89%

“…At the genus level, we found that MA increased the abundances of conditional pathogens, such as Mycoplasma and Desulfovibrio , and decreased the abundances of beneficial gut microbiota, such as unclassified_Atopobiaceae and UBA1819 . The neuroactive effect of MA may also affect the intestinal microbial community through the hypothalamic–pituitary–adrenal axis [34]. In rats treated with pentoxifylline, an inhibitor of TNF alpha synthesis alleviated Mycoplasma ‐induced adrenocortical response through the hypothalamic–pituitary–adrenal axis [35].…”

Section: Discussionmentioning

confidence: 99%

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Lycium barbarum polysaccharide mitigated methamphetamine addiction and altered methamphetamine‐induced gut microbiota dysbiosis

Zhuang,

Chen,

et al. 2024

Electrophoresis

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Methamphetamine (MA) is a highly addictive mental stimulant, and MA abuse remains a significant public health problem worldwide, while effective treatment options are limited. Lycium barbarum polysaccharide (LBP), a major effective component extracted from Lycium barbarum, has potential health‐promoting effects on the nervous system; however, its role in MA dependence remains unclear. In this study, the conditioned place preference (CPP) of MA addiction in adult male mice was established to detect changes in gut microbiota profiles after LBP treatment through 16S rRNA gene sequencing. Our results found that LBP administration could alleviate MA‐induced CPP and hyperactivity. Interestingly, LBP improved MA‐induced gut microbiota dysbiosis by increasing some beneficial autochthonous genus abundances, such as Allobaculum, Gordonibacter, and Ileibacterium. MA exposure induced the co‐occurrence network of intestinal microbiota to become weaker and more unstable when compared with the control group, while LBP changed the above effects when compared with the MA group. Bacterial gene function prediction showed that amphetamine addiction, cocaine addiction, and short‐chain fatty acid metabolism were enriched. These findings reveal that LBP might regulate MA‐induced gut microbiota and behavior changes, which showed potential therapeutic applicability in treating MA addiction by regulating the gut microbiota.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Lycium barbarum polysaccharide mitigated methamphetamine addiction and altered methamphetamine‐induced gut microbiota dysbiosis

Zhuang,

Chen,

et al. 2024

Electrophoresis

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“…Additionally, as non-absorbable antibiotics lead to gut microbiome depletion, there is a report on subsequently reduced locomotor sensitization to morphine, along with noticeable changes in inflammatory gene expression, neuronal functions, and behavior [116]. Chen et al also found that the behavioral changes in methamphetamine-exposed mice are associated with the reduction in SCFAs that is linked to inflammation and epigenetic modification [117]. Bisphenol A (BPA) is considered to be another environmental factor (in fact a contaminant) that may affect the neurobehavioral system during childhood and adulthood periods owing to its extensive use in the production of polycarbonate plastics and epoxy resins such as food or water containers, dental sealants, and thermal papers [118][119][120][121].…”

Section: Maternal Diet Offspring Gut Microbiome and Brain Functionsmentioning

confidence: 99%

Epigenetic Aberrations in Major Psychiatric Diseases Related to Diet and Gut Microbiome Alterations

Nohesara

Abdolmaleky

Thiagalingam

2023

Genes

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Nutrition and metabolism modify epigenetic signatures like histone acetylation and DNA methylation. Histone acetylation and DNA methylation in the central nervous system (CNS) can be altered by bioactive nutrients and gut microbiome via the gut–brain axis, which in turn modulate neuronal activity and behavior. Notably, the gut microbiome, with more than 1000 bacterial species, collectively contains almost three million functional genes whose products interact with millions of human epigenetic marks and 30,000 genes in a dynamic manner. However, genetic makeup shapes gut microbiome composition, food/nutrient metabolism, and epigenetic landscape, as well. Here, we first discuss the effect of changes in the microbial structure and composition in shaping specific epigenetic alterations in the brain and their role in the onset and progression of major mental disorders. Afterward, potential interactions among maternal diet/environmental factors, nutrition, and gastrointestinal microbiome, and their roles in accelerating or delaying the onset of severe mental illnesses via epigenetic changes will be discussed. We also provide an overview of the association between the gut microbiome, oxidative stress, and inflammation through epigenetic mechanisms. Finally, we present some underlying mechanisms involved in mediating the influence of the gut microbiome and probiotics on mental health via epigenetic modifications.

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“…With the emergence of the "gut-brain axis," the influence of intestinal flora on the brain's physiological, behavioral, and cognitive functions has become a trendy research topic (Wang and Wang, 2016). Recent studies have demonstrated a strong link between MA use and gut microbiome (Ning et al, 2017;Cook et al, 2019;Angoa-Peŕez et al, 2020;Forouzan et al, 2020;Chen et al, 2021;Deng et al, 2021;Wang et al, 2021;Lai et al, 2022;Wang et al, 2022;. Clinical research has shown significant differences in the GM composition between MA users and non-MA users (Cook et al, 2019) and marked changes in GM among individuals with MUD related to their inflammatory markers and clinical characteristics (Deng et al, 2021;.…”

Section: Introductionmentioning

confidence: 99%

Differences in clinical features and gut microbiota between individuals with methamphetamine casual use and methamphetamine use disorder

Yang²,

Ma³

et al. 2023

Front. Cell. Infect. Microbiol.

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BackgroundThe transition from methamphetamine (MA) casual use (MCU) to compulsive use is enigmatic as some MA users can remain in casual use, but some cannot. There is a knowledge gap if gut microbiota (GM) play a role in differing MCU from MA use disorder (MUD). We aimed to investigate the clinical features and GM differences between individuals with MCU and MUD.MethodWe recruited two groups of MA users –MCU and MUD – and matched them according to age and body mass index (n=21 in each group). Participants were accessed using the Semi-Structured Assessment for Drug Dependence and Alcoholism, and their fecal samples were undergone 16S ribosomal DNA sequencing. We compared the hosts’ clinical features and GM diversity, composition, and structure (represented by enterotypes) between the two groups. We have identified differential microbes between the two groups and performed network analyses connecting GM and the clinical traits.ResultCompared with the casual users, individuals with MUD had higher incidences of MA-induced neuropsychiatric symptoms (e.g., paranoia, depression) and withdrawal symptoms (e.g., fatigue, drowsiness, and increased appetite), as well as stronger cravings for and intentions to use MA, and increased MA tolerance. The GM diversity showed no significant differences between the two groups, but four genera (Halomonas, Clostridium, Devosia, and Dorea) were enriched in the individuals with MUD (p<0.05). Three distinct enterotypes were identified in all MA users, and Ruminococcus-driven enterotype 2 was dominant in individuals with MUD compared to the MCU (61.90% vs. 28.60%, p=0.03). Network analysis shows that Devosia is the hub genus (hub index = 0.75), which is not only related to the counts of the MUD diagnostic criteria (ρ=0.40; p=0.01) but also to the clinical features of MA users such as reduced social activities (ρ=0.54; p<0.01). Devosia is also associated with the increased intention to use MA (ρ=0.48; p<0.01), increased MA tolerance (ρ=0.38; p=0.01), craving for MA (ρ=0.37; p=0.01), and MA-induced withdrawal symptoms (p<0.05).ConclusionOur findings suggest that Ruminococcus-driven enterotype 2 and the genera Devosia might be two influential factors that differentiate MA casual use from MUD, but further studies are warranted.

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Alterations in gut microbiota affect behavioral and inflammatory responses to methamphetamine in mice

Cited by 14 publications

References 60 publications

Lycium barbarum polysaccharide mitigated methamphetamine addiction and altered methamphetamine‐induced gut microbiota dysbiosis

Lycium barbarum polysaccharide mitigated methamphetamine addiction and altered methamphetamine‐induced gut microbiota dysbiosis

Epigenetic Aberrations in Major Psychiatric Diseases Related to Diet and Gut Microbiome Alterations

Differences in clinical features and gut microbiota between individuals with methamphetamine casual use and methamphetamine use disorder

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